{
    "cells": [
        {
            "attachments": {},
            "cell_type": "markdown",
            "id": "da5b9b7e",
            "metadata": {},
            "source": [
                "# Fine-tuning a Torch object detection model\n",
                "\n",
                "<a id=\"try-anyscale-quickstart-torch_detection\" href=\"https://console.anyscale.com/register/ha?render_flow=ray&utm_source=ray_docs&utm_medium=docs&utm_campaign=torch_detection\">\n",
                "    <img src=\"../../../_static/img/run-on-anyscale.svg\" alt=\"try-anyscale-quickstart\">\n",
                "</a>\n",
                "<br></br>\n",
                "\n",
                "This tutorial explains how to fine-tune `fasterrcnn_resnet50_fpn` using the Ray AI libraries for parallel data ingest and training.\n",
                "\n",
                "Here's what you'll do:\n",
                "1. Load raw images and [VOC-style](http://host.robots.ox.ac.uk/pascal/VOC/) annotations into a Dataset\n",
                "2. Fine-tune `fasterrcnn_resnet50_fpn` (the backbone is pre-trained on ImageNet)\n",
                "3. Evaluate the model's accuracy\n",
                "\n",
                "You should be familiar with [PyTorch](https://pytorch.org/) before starting the\n",
                "tutorial. If you need a refresher, read PyTorch's\n",
                "[training a classifier](https://pytorch.org/tutorials/beginner/blitz/cifar10_tutorial.html)\n",
                "tutorial.\n",
                "\n",
                "## Before you begin"
            ]
        },
        {
            "attachments": {},
            "cell_type": "markdown",
            "id": "e9a6d043",
            "metadata": {},
            "source": [
                "* Install the dependencies for Ray Data and Ray Train."
            ]
        },
        {
            "cell_type": "code",
            "execution_count": null,
            "id": "2d3ae999",
            "metadata": {
                "vscode": {
                    "languageId": "shellscript"
                }
            },
            "outputs": [],
            "source": [
                "!pip install 'ray[data,train]'"
            ]
        },
        {
            "attachments": {},
            "cell_type": "markdown",
            "id": "9b3d4302",
            "metadata": {},
            "source": [
                "* Install `torch`, `torchmetrics`, `torchvision`, and `xmltodict`."
            ]
        },
        {
            "cell_type": "code",
            "execution_count": null,
            "id": "8251d9d9",
            "metadata": {
                "vscode": {
                    "languageId": "shellscript"
                }
            },
            "outputs": [],
            "source": [
                "!pip install torch torchmetrics torchvision xmltodict"
            ]
        },
        {
            "attachments": {},
            "cell_type": "markdown",
            "id": "65bf13b8",
            "metadata": {},
            "source": [
                "## Create a `Dataset`\n",
                "\n",
                "You'll work with a subset of [Pascal VOC](http://host.robots.ox.ac.uk/pascal/VOC/) that contains cats and dogs (the full dataset has 20 classes)."
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 1,
            "id": "10df1b5d",
            "metadata": {},
            "outputs": [],
            "source": [
                "CLASS_TO_LABEL = {\n",
                "    \"background\": 0,\n",
                "    \"cat\": 1,\n",
                "    \"dog\": 2,\n",
                "}"
            ]
        },
        {
            "attachments": {},
            "cell_type": "markdown",
            "id": "5567a6d6",
            "metadata": {},
            "source": [
                "The dataset contain two subdirectories: `JPEGImages` and `Annotations`. `JPEGImages` contains raw images, and\n",
                "`Annotations` contains XML annotations.\n",
                "\n",
                "```\n",
                "AnimalDetection\n",
                "├── Annotations\n",
                "│   ├── 2007_000063.xml\n",
                "│   ├── 2007_000528.xml\n",
                "│   └──  ...\n",
                "└── JPEGImages\n",
                "    ├── 2007_000063.jpg\n",
                "    ├── 2007_000528.jpg\n",
                "    └──  ...\n",
                "```"
            ]
        },
        {
            "attachments": {},
            "cell_type": "markdown",
            "id": "f821e93d",
            "metadata": {},
            "source": [
                "### Parse annotations\n",
                "\n",
                "Each annotation describes the objects in an image.\n",
                "\n",
                "For example, view this image of a dog:"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 2,
            "id": "a29845a5",
            "metadata": {},
            "outputs": [
                {
                    "data": {
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",
                        "image/png": 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",
                        "text/plain": [
                            "<PIL.JpegImagePlugin.JpegImageFile image mode=RGB size=500x375>"
                        ]
                    },
                    "execution_count": 2,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": [
                "import io\n",
                "\n",
                "from PIL import Image\n",
                "import requests\n",
                "\n",
                "response = requests.get(\"https://s3-us-west-2.amazonaws.com/air-example-data/AnimalDetection/JPEGImages/2007_000063.jpg\")\n",
                "image = Image.open(io.BytesIO(response.content))\n",
                "image"
            ]
        },
        {
            "attachments": {},
            "cell_type": "markdown",
            "id": "b8ab2cf1",
            "metadata": {},
            "source": [
                "Then, print the image's annotation:"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 3,
            "id": "ee5e074a",
            "metadata": {
                "vscode": {
                    "languageId": "shellscript"
                }
            },
            "outputs": [
                {
                    "name": "stdout",
                    "output_type": "stream",
                    "text": [
                        "<?xml version=\"1.0\" encoding=\"utf-8\"?>\n",
                        "<annotation>\n",
                        "\t<folder>VOC2012</folder>\n",
                        "\t<filename>2007_000063.jpg</filename>\n",
                        "\t<source>\n",
                        "\t\t<database>The VOC2007 Database</database>\n",
                        "\t\t<annotation>PASCAL VOC2007</annotation>\n",
                        "\t\t<image>flickr</image>\n",
                        "\t</source>\n",
                        "\t<size>\n",
                        "\t\t<width>500</width>\n",
                        "\t\t<height>375</height>\n",
                        "\t\t<depth>3</depth>\n",
                        "\t</size>\n",
                        "\t<segmented>1</segmented>\n",
                        "\t<object>\n",
                        "\t\t<name>dog</name>\n",
                        "\t\t<pose>Unspecified</pose>\n",
                        "\t\t<truncated>0</truncated>\n",
                        "\t\t<difficult>0</difficult>\n",
                        "\t\t<bndbox>\n",
                        "\t\t\t<xmin>123</xmin>\n",
                        "\t\t\t<ymin>115</ymin>\n",
                        "\t\t\t<xmax>379</xmax>\n",
                        "\t\t\t<ymax>275</ymax>\n",
                        "\t\t</bndbox>\n",
                        "\t</object>\n",
                        "</annotation>"
                    ]
                }
            ],
            "source": [
                "!curl \"https://s3-us-west-2.amazonaws.com/air-example-data/AnimalDetection/Annotations/2007_000063.xml\""
            ]
        },
        {
            "attachments": {},
            "cell_type": "markdown",
            "id": "686f0885",
            "metadata": {},
            "source": [
                "Notice how there's one object labeled \"dog\"\n",
                "\n",
                "```\n",
                "<name>dog</name>\n",
                "<pose>Unspecified</pose>\n",
                "<truncated>0</truncated>\n",
                "<difficult>0</difficult>\n",
                "<bndbox>\n",
                "        <xmin>123</xmin>\n",
                "        <ymin>115</ymin>\n",
                "        <xmax>379</xmax>\n",
                "        <ymax>275</ymax>\n",
                "</bndbox>\n",
                "```\n",
                "\n",
                "[Ray Data](https://docs.ray.io/en/latest/data/data.html) lets you read and preprocess data in parallel. Ray Data doesn't\n",
                "have built-in support for VOC-style annotations, so you'll need to define logic to parse the annotations."
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 4,
            "id": "0a4b8820",
            "metadata": {},
            "outputs": [],
            "source": [
                "from typing import Any, Dict, List, Tuple\n",
                "\n",
                "import xmltodict\n",
                "\n",
                "\n",
                "def decode_annotation(row: Dict[str, Any]) -> Dict[str, Any]:\n",
                "    text = row[\"bytes\"].decode(\"utf-8\")\n",
                "    annotation = xmltodict.parse(text)[\"annotation\"]\n",
                "\n",
                "    objects = annotation[\"object\"]\n",
                "    # If there's one object, `objects` is a `dict`; otherwise, it's a `list[dict]`.\n",
                "    if isinstance(objects, dict):\n",
                "        objects = [objects]\n",
                "\n",
                "    boxes: List[Tuple] = []\n",
                "    for obj in objects:\n",
                "        x1 = float(obj[\"bndbox\"][\"xmin\"])\n",
                "        y1 = float(obj[\"bndbox\"][\"ymin\"])\n",
                "        x2 = float(obj[\"bndbox\"][\"xmax\"])\n",
                "        y2 = float(obj[\"bndbox\"][\"ymax\"])\n",
                "        boxes.append((x1, y1, x2, y2))\n",
                "\n",
                "    labels: List[int] = [CLASS_TO_LABEL[obj[\"name\"]] for obj in objects]\n",
                "\n",
                "    filename = annotation[\"filename\"]\n",
                "\n",
                "    return {\n",
                "        \"boxes\": boxes,\n",
                "        \"labels\": labels,\n",
                "        \"filename\": filename,\n",
                "    }\n"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 5,
            "id": "0a4717e2",
            "metadata": {},
            "outputs": [
                {
                    "name": "stderr",
                    "output_type": "stream",
                    "text": [
                        "2025-03-10 21:44:27,975\tINFO worker.py:1654 -- Connecting to existing Ray cluster at address: 10.0.49.230:6379...\n",
                        "2025-03-10 21:44:27,985\tINFO worker.py:1832 -- Connected to Ray cluster. View the dashboard at \u001b[1m\u001b[32mhttps://session-l9djtlqx7qqeui6ppmc55icd5n.i.anyscaleuserdata.com \u001b[39m\u001b[22m\n",
                        "2025-03-10 21:44:27,989\tINFO packaging.py:367 -- Pushing file package 'gcs://_ray_pkg_5faf6ec023d53f8af2bda5976e1d23b9edab9b2d.zip' (0.61MiB) to Ray cluster...\n",
                        "2025-03-10 21:44:27,992\tINFO packaging.py:380 -- Successfully pushed file package 'gcs://_ray_pkg_5faf6ec023d53f8af2bda5976e1d23b9edab9b2d.zip'.\n"
                    ]
                }
            ],
            "source": [
                "import os\n",
                "import ray\n",
                "\n",
                "\n",
                "path = \"s3://anonymous@air-example-data/AnimalDetection/Annotations\"\n",
                "annotations: ray.data.Dataset = (\n",
                "    ray.data.read_binary_files(path)\n",
                "    .map(decode_annotation)\n",
                ")"
            ]
        },
        {
            "attachments": {},
            "cell_type": "markdown",
            "id": "db3d0ee6",
            "metadata": {},
            "source": [
                "Look at the first two samples. Ray Data should've correctly parsed labels and bounding boxes."
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 6,
            "id": "e0039edf",
            "metadata": {},
            "outputs": [
                {
                    "name": "stderr",
                    "output_type": "stream",
                    "text": [
                        "2025-03-10 21:44:29,880\tINFO dataset.py:2799 -- Tip: Use `take_batch()` instead of `take() / show()` to return records in pandas or numpy batch format.\n",
                        "2025-03-10 21:44:29,890\tINFO streaming_executor.py:108 -- Starting execution of Dataset. Full logs are in /tmp/ray/session_2025-03-10_20-48-49_801322_2254/logs/ray-data\n",
                        "2025-03-10 21:44:29,890\tINFO streaming_executor.py:109 -- Execution plan of Dataset: InputDataBuffer[Input] -> TaskPoolMapOperator[ListFiles] -> TaskPoolMapOperator[PartitionFiles] -> TaskPoolMapOperator[ReadFiles] -> TaskPoolMapOperator[Map(decode_annotation)] -> LimitOperator[limit=2]\n"
                    ]
                },
                {
                    "data": {
                        "application/vnd.jupyter.widget-view+json": {
                            "model_id": "6c435e4354f244cbb77b418d27d7a507",
                            "version_major": 2,
                            "version_minor": 0
                        },
                        "text/plain": [
                            "Running 0: 0.00 row [00:00, ? row/s]"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                },
                {
                    "data": {
                        "application/vnd.jupyter.widget-view+json": {
                            "model_id": "1c803d1537374ea0af0c9feeeb2e4f5f",
                            "version_major": 2,
                            "version_minor": 0
                        },
                        "text/plain": [
                            "- ListFiles 1: 0.00 row [00:00, ? row/s]"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                },
                {
                    "data": {
                        "application/vnd.jupyter.widget-view+json": {
                            "model_id": "c90acf3c08a8476ba235ea4b2fb79114",
                            "version_major": 2,
                            "version_minor": 0
                        },
                        "text/plain": [
                            "- PartitionFiles 2: 0.00 row [00:00, ? row/s]"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                },
                {
                    "data": {
                        "application/vnd.jupyter.widget-view+json": {
                            "model_id": "24408762e6994f09a76fea97e67e0024",
                            "version_major": 2,
                            "version_minor": 0
                        },
                        "text/plain": [
                            "- ReadFiles 3: 0.00 row [00:00, ? row/s]"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                },
                {
                    "data": {
                        "application/vnd.jupyter.widget-view+json": {
                            "model_id": "e1b4d67282864b2a98bf3cae4a8a85b0",
                            "version_major": 2,
                            "version_minor": 0
                        },
                        "text/plain": [
                            "- Map(decode_annotation) 4: 0.00 row [00:00, ? row/s]"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                },
                {
                    "data": {
                        "application/vnd.jupyter.widget-view+json": {
                            "model_id": "b4178a6c7edf41ebb8c871656db34e6d",
                            "version_major": 2,
                            "version_minor": 0
                        },
                        "text/plain": [
                            "- limit=2 5: 0.00 row [00:00, ? row/s]"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                },
                {
                    "name": "stdout",
                    "output_type": "stream",
                    "text": [
                        "\u001b[36m(autoscaler +24s)\u001b[0m Tip: use `ray status` to view detailed cluster status. To disable these messages, set RAY_SCHEDULER_EVENTS=0.\n"
                    ]
                },
                {
                    "data": {
                        "text/plain": [
                            "[{'boxes': [[31.0, 166.0, 275.0, 415.0]],\n",
                            "  'labels': [1],\n",
                            "  'filename': '2010_002026.jpg'},\n",
                            " {'boxes': [[109.0, 29.0, 428.0, 394.0]],\n",
                            "  'labels': [2],\n",
                            "  'filename': '2010_002029.jpg'}]"
                        ]
                    },
                    "execution_count": 6,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": [
                "annotations.take(2)"
            ]
        },
        {
            "attachments": {},
            "cell_type": "markdown",
            "id": "5ff0097f",
            "metadata": {},
            "source": [
                "### Load images"
            ]
        },
        {
            "attachments": {},
            "cell_type": "markdown",
            "id": "87846ae1",
            "metadata": {},
            "source": [
                "Each row of `annotations` contains the filename of an image.\n",
                "\n",
                "Write a user-defined function that loads these images. For each annotation, your function will:\n",
                "1. Open the image associated with the annotation.\n",
                "2. Add the image to a new `\"image\"` column."
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 7,
            "id": "494c71d6",
            "metadata": {},
            "outputs": [
                {
                    "name": "stderr",
                    "output_type": "stream",
                    "text": [
                        "2025-03-10 21:45:01,288\tINFO streaming_executor.py:108 -- Starting execution of Dataset. Full logs are in /tmp/ray/session_2025-03-10_20-48-49_801322_2254/logs/ray-data\n",
                        "2025-03-10 21:45:01,289\tINFO streaming_executor.py:109 -- Execution plan of Dataset: InputDataBuffer[Input] -> TaskPoolMapOperator[ListFiles] -> TaskPoolMapOperator[PartitionFiles] -> TaskPoolMapOperator[ReadFiles]\n"
                    ]
                },
                {
                    "data": {
                        "application/vnd.jupyter.widget-view+json": {
                            "model_id": "30e30c077e724067b1d1ed24a4a8e01d",
                            "version_major": 2,
                            "version_minor": 0
                        },
                        "text/plain": [
                            "Running 0: 0.00 row [00:00, ? row/s]"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                },
                {
                    "data": {
                        "application/vnd.jupyter.widget-view+json": {
                            "model_id": "8fdd001b5d204c2d950dacde5ddda666",
                            "version_major": 2,
                            "version_minor": 0
                        },
                        "text/plain": [
                            "- ListFiles 1: 0.00 row [00:00, ? row/s]"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                },
                {
                    "data": {
                        "application/vnd.jupyter.widget-view+json": {
                            "model_id": "8a67223b96bf41bfb7e04f47b27cb626",
                            "version_major": 2,
                            "version_minor": 0
                        },
                        "text/plain": [
                            "- PartitionFiles 2: 0.00 row [00:00, ? row/s]"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                },
                {
                    "data": {
                        "application/vnd.jupyter.widget-view+json": {
                            "model_id": "b9a28fe77fda4611872715acc4c24d2f",
                            "version_major": 2,
                            "version_minor": 0
                        },
                        "text/plain": [
                            "- ReadFiles 3: 0.00 row [00:00, ? row/s]"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                },
                {
                    "data": {
                        "application/vnd.jupyter.widget-view+json": {
                            "model_id": "ef17acfa51a146b58d2772451de7c286",
                            "version_major": 2,
                            "version_minor": 0
                        },
                        "text/plain": [
                            "Map(read_images)\n",
                            "+- Map(decode_annotation)\n",
                            "   +- Dataset(num_rows=?, schema={bytes: binary})"
                        ]
                    },
                    "execution_count": 7,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": [
                "from typing import Dict\n",
                "\n",
                "import numpy as np\n",
                "from PIL import Image\n",
                "\n",
                "\n",
                "def read_images(row: Dict[str, np.ndarray]) -> Dict[str, np.ndarray]:\n",
                "    url = os.path.join(\"https://s3-us-west-2.amazonaws.com/air-example-data/AnimalDetection/JPEGImages\", row[\"filename\"])\n",
                "    response = requests.get(url)\n",
                "    image = Image.open(io.BytesIO(response.content))\n",
                "    row[\"image\"] = np.array(image)\n",
                "    return row\n",
                "\n",
                "\n",
                "dataset = annotations.map(read_images)\n",
                "dataset"
            ]
        },
        {
            "attachments": {},
            "cell_type": "markdown",
            "id": "e7cdc755",
            "metadata": {},
            "source": [
                "### Split the dataset into train and test sets"
            ]
        },
        {
            "attachments": {},
            "cell_type": "markdown",
            "id": "9cfddd49",
            "metadata": {},
            "source": [
                "Once you've created a `Dataset`, split the dataset into train and test sets."
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 8,
            "id": "f92ee5c1",
            "metadata": {},
            "outputs": [
                {
                    "name": "stderr",
                    "output_type": "stream",
                    "text": [
                        "2025-03-10 21:46:46,178\tINFO streaming_executor.py:108 -- Starting execution of Dataset. Full logs are in /tmp/ray/session_2025-03-10_20-48-49_801322_2254/logs/ray-data\n",
                        "2025-03-10 21:46:46,178\tINFO streaming_executor.py:109 -- Execution plan of Dataset: InputDataBuffer[Input] -> TaskPoolMapOperator[ListFiles] -> TaskPoolMapOperator[PartitionFiles] -> TaskPoolMapOperator[ReadFiles] -> TaskPoolMapOperator[Map(decode_annotation)->Map(read_images)] -> AggregateNumRows[AggregateNumRows]\n"
                    ]
                },
                {
                    "data": {
                        "application/vnd.jupyter.widget-view+json": {
                            "model_id": "d881605e6b7b4ab1ad2cff1dd1d8aff6",
                            "version_major": 2,
                            "version_minor": 0
                        },
                        "text/plain": [
                            "Running 0: 0.00 row [00:00, ? row/s]"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                },
                {
                    "data": {
                        "application/vnd.jupyter.widget-view+json": {
                            "model_id": "236d0973306242c8a0a183bda7fab4f7",
                            "version_major": 2,
                            "version_minor": 0
                        },
                        "text/plain": [
                            "- ListFiles 1: 0.00 row [00:00, ? row/s]"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                },
                {
                    "data": {
                        "application/vnd.jupyter.widget-view+json": {
                            "model_id": "284c5d0cba2a443ab68c1a34e9bce004",
                            "version_major": 2,
                            "version_minor": 0
                        },
                        "text/plain": [
                            "- PartitionFiles 2: 0.00 row [00:00, ? row/s]"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                },
                {
                    "data": {
                        "application/vnd.jupyter.widget-view+json": {
                            "model_id": "d24ac75de63e4b40b61fd74a13a1e0fc",
                            "version_major": 2,
                            "version_minor": 0
                        },
                        "text/plain": [
                            "- ReadFiles 3: 0.00 row [00:00, ? row/s]"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                },
                {
                    "data": {
                        "application/vnd.jupyter.widget-view+json": {
                            "model_id": "6c27033fdc764dae8d215cd3c563b98c",
                            "version_major": 2,
                            "version_minor": 0
                        },
                        "text/plain": [
                            "- Map(decode_annotation)->Map(read_images) 4: 0.00 row [00:00, ? row/s]"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                },
                {
                    "data": {
                        "application/vnd.jupyter.widget-view+json": {
                            "model_id": "cc569555cb1a49dab52544df9d4ba4c5",
                            "version_major": 2,
                            "version_minor": 0
                        },
                        "text/plain": [
                            "- AggregateNumRows 5: 0.00 row [00:00, ? row/s]"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                },
                {
                    "name": "stderr",
                    "output_type": "stream",
                    "text": [
                        "2025-03-10 21:49:52,272\tINFO streaming_executor.py:108 -- Starting execution of Dataset. Full logs are in /tmp/ray/session_2025-03-10_20-48-49_801322_2254/logs/ray-data\n",
                        "2025-03-10 21:49:52,272\tINFO streaming_executor.py:109 -- Execution plan of Dataset: InputDataBuffer[Input] -> TaskPoolMapOperator[ListFiles] -> TaskPoolMapOperator[PartitionFiles] -> TaskPoolMapOperator[ReadFiles] -> TaskPoolMapOperator[Map(decode_annotation)->Map(read_images)]\n"
                    ]
                },
                {
                    "data": {
                        "application/vnd.jupyter.widget-view+json": {
                            "model_id": "46d70f44dfa84e6384ef35cf41634fb5",
                            "version_major": 2,
                            "version_minor": 0
                        },
                        "text/plain": [
                            "Running 0: 0.00 row [00:00, ? row/s]"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                },
                {
                    "data": {
                        "application/vnd.jupyter.widget-view+json": {
                            "model_id": "01feff887400476fbc568004b58d76e7",
                            "version_major": 2,
                            "version_minor": 0
                        },
                        "text/plain": [
                            "- ListFiles 1: 0.00 row [00:00, ? row/s]"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                },
                {
                    "data": {
                        "application/vnd.jupyter.widget-view+json": {
                            "model_id": "832664ebe4b0452c8026bdd298b3f6f5",
                            "version_major": 2,
                            "version_minor": 0
                        },
                        "text/plain": [
                            "- PartitionFiles 2: 0.00 row [00:00, ? row/s]"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                },
                {
                    "data": {
                        "application/vnd.jupyter.widget-view+json": {
                            "model_id": "39d107e8972a42be89dde0177ed94e64",
                            "version_major": 2,
                            "version_minor": 0
                        },
                        "text/plain": [
                            "- ReadFiles 3: 0.00 row [00:00, ? row/s]"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                },
                {
                    "data": {
                        "application/vnd.jupyter.widget-view+json": {
                            "model_id": "bebb5d64a8c647699d967992dafc91b9",
                            "version_major": 2,
                            "version_minor": 0
                        },
                        "text/plain": [
                            "- Map(decode_annotation)->Map(read_images) 4: 0.00 row [00:00, ? row/s]"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                }
            ],
            "source": [
                "train_dataset, test_dataset = dataset.train_test_split(0.2)"
            ]
        },
        {
            "attachments": {},
            "cell_type": "markdown",
            "id": "6b68209a",
            "metadata": {},
            "source": [
                "## Define preprocessing logic"
            ]
        },
        {
            "attachments": {},
            "cell_type": "markdown",
            "id": "9dbea4b4",
            "metadata": {},
            "source": [
                "Create a function that preprocesses the images in the dataset. First, transpose and scale the images (`ToTensor`). Then,\n",
                "randomly augment images every epoch (`RandomHorizontalFlip`). Apply this transformation to each row in the dataset with `map`.\n"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 9,
            "id": "bbba448e",
            "metadata": {},
            "outputs": [],
            "source": [
                "from typing import Any\n",
                "from torchvision import transforms\n",
                "\n",
                "def preprocess_image(row: Dict[str, Any]) -> Dict[str, Any]:\n",
                "    transform = transforms.Compose([transforms.ToTensor(), transforms.RandomHorizontalFlip(p=0.5)])\n",
                "    row[\"image\"] = transform(row[\"image\"])\n",
                "    return row\n",
                "    \n",
                "\n",
                "# The following transform operation is lazy.\n",
                "# It will be re-run every epoch.\n",
                "train_dataset = train_dataset.map(preprocess_image)"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 10,
            "id": "292cf603",
            "metadata": {},
            "outputs": [
                {
                    "name": "stderr",
                    "output_type": "stream",
                    "text": [
                        "2025-03-10 21:55:10,274\tINFO streaming_executor.py:108 -- Starting execution of Dataset. Full logs are in /tmp/ray/session_2025-03-10_20-48-49_801322_2254/logs/ray-data\n",
                        "2025-03-10 21:55:10,275\tINFO streaming_executor.py:109 -- Execution plan of Dataset: InputDataBuffer[Input] -> LimitOperator[limit=1]\n"
                    ]
                },
                {
                    "data": {
                        "application/vnd.jupyter.widget-view+json": {
                            "model_id": "7338a88ca27b4e4d83e580f17753e61c",
                            "version_major": 2,
                            "version_minor": 0
                        },
                        "text/plain": [
                            "Running 0: 0.00 row [00:00, ? row/s]"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                },
                {
                    "data": {
                        "application/vnd.jupyter.widget-view+json": {
                            "model_id": "a874a6ff91d54bf98446b29768b9d6be",
                            "version_major": 2,
                            "version_minor": 0
                        },
                        "text/plain": [
                            "- limit=1 1: 0.00 row [00:00, ? row/s]"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                },
                {
                    "data": {
                        "text/plain": [
                            "[{'boxes': [[188.0, 72.0, 319.0, 341.0]],\n",
                            "  'labels': [1],\n",
                            "  'filename': '2009_002936.jpg',\n",
                            "  'image': array([[[  0,   4,   0],\n",
                            "          [  0,   4,   0],\n",
                            "          [  1,   6,   2],\n",
                            "          ...,\n",
                            "          [  2,   6,   0],\n",
                            "          [ 60,  79,  96],\n",
                            "          [134, 186, 233]],\n",
                            "  \n",
                            "         [[  6,   5,   0],\n",
                            "          [ 13,  12,   8],\n",
                            "          [  0,   1,   0],\n",
                            "          ...,\n",
                            "          [  0,  11,   0],\n",
                            "          [125, 162, 178],\n",
                            "          [132, 176, 221]],\n",
                            "  \n",
                            "         [[ 10,   3,   0],\n",
                            "          [ 44,  39,  35],\n",
                            "          [ 14,  10,   7],\n",
                            "          ...,\n",
                            "          [ 54,  81,  92],\n",
                            "          [144, 190, 223],\n",
                            "          [124, 160, 212]],\n",
                            "  \n",
                            "         ...,\n",
                            "  \n",
                            "         [[  9,  18,   1],\n",
                            "          [ 12,  21,   2],\n",
                            "          [ 10,  17,  10],\n",
                            "          ...,\n",
                            "          [182, 176, 180],\n",
                            "          [ 92,  78,  49],\n",
                            "          [166, 167, 123]],\n",
                            "  \n",
                            "         [[ 74,  83,  40],\n",
                            "          [  9,  16,   0],\n",
                            "          [  4,   9,   2],\n",
                            "          ...,\n",
                            "          [255, 250, 255],\n",
                            "          [134, 122, 122],\n",
                            "          [148, 142, 116]],\n",
                            "  \n",
                            "         [[164, 166, 155],\n",
                            "          [ 64,  72,  35],\n",
                            "          [ 33,  41,  17],\n",
                            "          ...,\n",
                            "          [107,  95, 107],\n",
                            "          [184, 180, 179],\n",
                            "          [119, 115,  68]]], dtype=uint8)}]"
                        ]
                    },
                    "execution_count": 10,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": [
                "test_dataset.take(1)"
            ]
        },
        {
            "attachments": {},
            "cell_type": "markdown",
            "id": "1c647be8",
            "metadata": {},
            "source": [
                "## Fine-tune the object detection model\n",
                "\n",
                "### Define the training loop\n",
                "\n",
                "Write a function that trains `fasterrcnn_resnet50_fpn`. Your code will look like\n",
                "standard Torch code with a few changes.\n",
                "\n",
                "Here are a few things to point out:\n",
                "1. Distribute the model with `ray.train.torch.prepare_model`. Don't use `DistributedDataParallel`.\n",
                "2. Pass your Dataset to the Trainer. The Trainer automatically shards the data across workers.\n",
                "3. Iterate over data with `DataIterator.iter_batches`. Don't use a Torch `DataLoader`.\n",
                "4. Pass preprocessors to the Trainer.\n",
                "\n",
                "In addition, report metrics and checkpoints with `train.report`. `train.report` tracks these metrics in Ray Train's internal bookkeeping, allowing you to monitor training and analyze training runs after they've finished."
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 11,
            "id": "44ec65fc",
            "metadata": {},
            "outputs": [],
            "source": [
                "import os\n",
                "import torch\n",
                "from torchvision import models\n",
                "from tempfile import TemporaryDirectory\n",
                "\n",
                "from ray import train\n",
                "\n",
                "\n",
                "def train_one_epoch(*, model, optimizer, batch_size, epoch):\n",
                "    model.train()\n",
                "\n",
                "    lr_scheduler = None\n",
                "    if epoch == 0:\n",
                "        warmup_factor = 1.0 / 1000\n",
                "        lr_scheduler = torch.optim.lr_scheduler.LinearLR(\n",
                "            optimizer, start_factor=warmup_factor, total_iters=250\n",
                "        )\n",
                "\n",
                "    device = ray.train.torch.get_device()\n",
                "    train_dataset_shard = train.get_dataset_shard(\"train\")\n",
                "\n",
                "    batches = train_dataset_shard.iter_batches(batch_size=batch_size)\n",
                "    for batch in batches:\n",
                "        inputs = [torch.as_tensor(image).to(device) for image in batch[\"image\"]]\n",
                "\n",
                "        targets = []\n",
                "        for i in range(len(batch[\"boxes\"])):\n",
                "            # `boxes` is a (B, 4) tensor, where B is the number of boxes in the image.\n",
                "            boxes = torch.as_tensor([box for box in batch[\"boxes\"][i]]).to(device)\n",
                "            # `labels` is a (B,) tensor, where B is the number of boxes in the image.\n",
                "            labels = torch.as_tensor(batch[\"labels\"][i]).to(device)\n",
                "            targets.append({\"boxes\": boxes, \"labels\": labels})\n",
                "\n",
                "        loss_dict = model(inputs, targets)\n",
                "        losses = sum(loss for loss in loss_dict.values())\n",
                "\n",
                "        optimizer.zero_grad()\n",
                "        losses.backward()\n",
                "        optimizer.step()\n",
                "\n",
                "        if lr_scheduler is not None:\n",
                "            lr_scheduler.step()\n",
                "\n",
                "        train.report(\n",
                "            {\n",
                "                \"losses\": losses.item(),\n",
                "                \"epoch\": epoch,\n",
                "                \"lr\": optimizer.param_groups[0][\"lr\"],\n",
                "                **{key: value.item() for key, value in loss_dict.items()},\n",
                "            }\n",
                "        )\n",
                "\n",
                "\n",
                "def train_loop_per_worker(config):\n",
                "    # By default, `fasterrcnn_resnet50_fpn`'s backbone is pre-trained on ImageNet.\n",
                "    model = models.detection.fasterrcnn_resnet50_fpn(num_classes=3)\n",
                "    model = ray.train.torch.prepare_model(model)\n",
                "    parameters = [p for p in model.parameters() if p.requires_grad]\n",
                "    optimizer = torch.optim.SGD(\n",
                "        parameters,\n",
                "        lr=config[\"lr\"],\n",
                "        momentum=config[\"momentum\"],\n",
                "        weight_decay=config[\"weight_decay\"],\n",
                "    )\n",
                "    lr_scheduler = torch.optim.lr_scheduler.MultiStepLR(\n",
                "        optimizer, milestones=config[\"lr_steps\"], gamma=config[\"lr_gamma\"]\n",
                "    )\n",
                "\n",
                "    for epoch in range(0, config[\"epochs\"]):\n",
                "        train_one_epoch(\n",
                "            model=model,\n",
                "            optimizer=optimizer,\n",
                "            batch_size=config[\"batch_size\"],\n",
                "            epoch=epoch,\n",
                "        )\n",
                "        lr_scheduler.step()"
            ]
        },
        {
            "attachments": {},
            "cell_type": "markdown",
            "id": "0d68c97c",
            "metadata": {},
            "source": [
                "### Fine-tune the model"
            ]
        },
        {
            "attachments": {},
            "cell_type": "markdown",
            "id": "eef58891",
            "metadata": {},
            "source": [
                "Once you've defined the training loop, create a `TorchTrainer` and pass the training\n",
                "loop to the constructor. Then, call `TorchTrainer.fit` to train the model."
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 12,
            "id": "06a59e9b",
            "metadata": {},
            "outputs": [
                {
                    "name": "stderr",
                    "output_type": "stream",
                    "text": [
                        "/home/ray/anaconda3/lib/python3.12/site-packages/ray/tune/impl/tuner_internal.py:125: RayDeprecationWarning: The `RunConfig` class should be imported from `ray.tune` when passing it to the Tuner. Please update your imports. See this issue for more context and migration options: https://github.com/ray-project/ray/issues/49454. Disable these warnings by setting the environment variable: RAY_TRAIN_ENABLE_V2_MIGRATION_WARNINGS=0\n",
                        "  _log_deprecation_warning(\n",
                        "2025-03-10 21:55:21,525\tINFO tune.py:616 -- [output] This uses the legacy output and progress reporter, as Jupyter notebooks are not supported by the new engine, yet. For more information, please see https://github.com/ray-project/ray/issues/36949\n"
                    ]
                },
                {
                    "name": "stdout",
                    "output_type": "stream",
                    "text": [
                        "== Status ==\n",
                        "Current time: 2025-03-10 21:55:21 (running for 00:00:00.11)\n",
                        "Using FIFO scheduling algorithm.\n",
                        "Logical resource usage: 1.0/48 CPUs, 4.0/4 GPUs (0.0/1.0 anyscale/node-group:head, 0.0/2.0 anyscale/provider:aws, 0.0/1.0 anyscale/cpu_only:true, 0.0/2.0 anyscale/region:us-west-2, 0.0/1.0 anyscale/node-group:4xL4:48CPU-192GB, 0.0/1.0 anyscale/accelerator_shape:4xL4, 0.0/1.0 accelerator_type:L4)\n",
                        "Result logdir: /tmp/ray/session_2025-03-10_20-48-49_801322_2254/artifacts/2025-03-10_21-55-21/TorchTrainer_2025-03-10_21-55-21/driver_artifacts\n",
                        "Number of trials: 1/1 (1 PENDING)\n",
                        "\n",
                        "\n",
                        "== Status ==\n",
                        "Current time: 2025-03-10 21:55:26 (running for 00:00:05.13)\n",
                        "Using FIFO scheduling algorithm.\n",
                        "Logical resource usage: 1.0/48 CPUs, 4.0/4 GPUs (0.0/1.0 anyscale/node-group:head, 0.0/2.0 anyscale/provider:aws, 0.0/1.0 anyscale/cpu_only:true, 0.0/2.0 anyscale/region:us-west-2, 0.0/1.0 anyscale/node-group:4xL4:48CPU-192GB, 0.0/1.0 anyscale/accelerator_shape:4xL4, 0.0/1.0 accelerator_type:L4)\n",
                        "Result logdir: /tmp/ray/session_2025-03-10_20-48-49_801322_2254/artifacts/2025-03-10_21-55-21/TorchTrainer_2025-03-10_21-55-21/driver_artifacts\n",
                        "Number of trials: 1/1 (1 RUNNING)\n",
                        "\n",
                        "\n"
                    ]
                },
                {
                    "name": "stderr",
                    "output_type": "stream",
                    "text": [
                        "\u001b[36m(RayTrainWorker pid=25530, ip=10.0.211.239)\u001b[0m Setting up process group for: env:// [rank=0, world_size=4]\n",
                        "\u001b[36m(TorchTrainer pid=25443, ip=10.0.211.239)\u001b[0m Started distributed worker processes: \n",
                        "\u001b[36m(TorchTrainer pid=25443, ip=10.0.211.239)\u001b[0m - (node_id=35eba17ece4a52de5138ed69f190e701d93372fa47b22ac14d9e0523, ip=10.0.211.239, pid=25530) world_rank=0, local_rank=0, node_rank=0\n",
                        "\u001b[36m(TorchTrainer pid=25443, ip=10.0.211.239)\u001b[0m - (node_id=35eba17ece4a52de5138ed69f190e701d93372fa47b22ac14d9e0523, ip=10.0.211.239, pid=25529) world_rank=1, local_rank=1, node_rank=0\n",
                        "\u001b[36m(TorchTrainer pid=25443, ip=10.0.211.239)\u001b[0m - (node_id=35eba17ece4a52de5138ed69f190e701d93372fa47b22ac14d9e0523, ip=10.0.211.239, pid=25532) world_rank=2, local_rank=2, node_rank=0\n",
                        "\u001b[36m(TorchTrainer pid=25443, ip=10.0.211.239)\u001b[0m - (node_id=35eba17ece4a52de5138ed69f190e701d93372fa47b22ac14d9e0523, ip=10.0.211.239, pid=25531) world_rank=3, local_rank=3, node_rank=0\n",
                        "\u001b[36m(RayTrainWorker pid=25530, ip=10.0.211.239)\u001b[0m Moving model to device: cuda:0\n",
                        "\u001b[36m(RayTrainWorker pid=25530, ip=10.0.211.239)\u001b[0m Wrapping provided model in DistributedDataParallel.\n"
                    ]
                },
                {
                    "name": "stdout",
                    "output_type": "stream",
                    "text": [
                        "== Status ==\n",
                        "Current time: 2025-03-10 21:55:31 (running for 00:00:10.15)\n",
                        "Using FIFO scheduling algorithm.\n",
                        "Logical resource usage: 1.0/48 CPUs, 4.0/4 GPUs (0.0/1.0 anyscale/cpu_only:true, 0.0/1.0 anyscale/node-group:head, 0.0/2.0 anyscale/region:us-west-2, 0.0/2.0 anyscale/provider:aws, 0.0/1.0 anyscale/node-group:4xL4:48CPU-192GB, 0.0/1.0 accelerator_type:L4, 0.0/1.0 anyscale/accelerator_shape:4xL4)\n",
                        "Result logdir: /tmp/ray/session_2025-03-10_20-48-49_801322_2254/artifacts/2025-03-10_21-55-21/TorchTrainer_2025-03-10_21-55-21/driver_artifacts\n",
                        "Number of trials: 1/1 (1 RUNNING)\n",
                        "\n",
                        "\n"
                    ]
                },
                {
                    "name": "stderr",
                    "output_type": "stream",
                    "text": [
                        "\u001b[36m(SplitCoordinator pid=25864, ip=10.0.211.239)\u001b[0m Starting execution of Dataset. Full logs are in /tmp/ray/session_2025-03-10_20-48-49_801322_2254/logs/ray-data\n",
                        "\u001b[36m(SplitCoordinator pid=25864, ip=10.0.211.239)\u001b[0m Execution plan of Dataset: InputDataBuffer[Input] -> TaskPoolMapOperator[Map(preprocess_image)] -> OutputSplitter[split(4, equal=True)]\n"
                    ]
                },
                {
                    "data": {
                        "application/vnd.jupyter.widget-view+json": {
                            "model_id": "92c3c9efe2a147aebd95e1db90d51f16",
                            "version_major": 2,
                            "version_minor": 0
                        },
                        "text/plain": [
                            "(pid=25864, ip=10.0.211.239) Running 0: 0.00 row [00:00, ? row/s]"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                },
                {
                    "data": {
                        "application/vnd.jupyter.widget-view+json": {
                            "model_id": "9ad82fd47ca947c9a45e6ac10a035fdc",
                            "version_major": 2,
                            "version_minor": 0
                        },
                        "text/plain": [
                            "(pid=25864, ip=10.0.211.239) - Map(preprocess_image) 1: 0.00 row [00:00, ? row/s]"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                },
                {
                    "data": {
                        "application/vnd.jupyter.widget-view+json": {
                            "model_id": "b587040bcfb64889b3b26f0c288e870c",
                            "version_major": 2,
                            "version_minor": 0
                        },
                        "text/plain": [
                            "(pid=25864, ip=10.0.211.239) - split(4, equal=True) 2: 0.00 row [00:00, ? row/s]"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                },
                {
                    "name": "stderr",
                    "output_type": "stream",
                    "text": [
                        "\u001b[36m(Map(preprocess_image) pid=25996, ip=10.0.211.239)\u001b[0m /tmp/ray/session_2025-03-10_20-48-49_801322_2254/runtime_resources/pip/eeb9e5d99a956859fc3b865940547678c4d9c242/virtualenv/lib/python3.12/site-packages/torchvision/transforms/functional.py:154: UserWarning: The given NumPy array is not writable, and PyTorch does not support non-writable tensors. This means writing to this tensor will result in undefined behavior. You may want to copy the array to protect its data or make it writable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at /pytorch/torch/csrc/utils/tensor_numpy.cpp:203.)\n",
                        "\u001b[36m(Map(preprocess_image) pid=25996, ip=10.0.211.239)\u001b[0m   img = torch.from_numpy(pic.transpose((2, 0, 1))).contiguous()\n",
                        "\u001b[36m(RayTrainWorker pid=25529, ip=10.0.211.239)\u001b[0m /tmp/ipykernel_20675/2152789653.py:29: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /pytorch/torch/csrc/utils/tensor_new.cpp:254.)\n"
                    ]
                },
                {
                    "name": "stdout",
                    "output_type": "stream",
                    "text": [
                        "== Status ==\n",
                        "Current time: 2025-03-10 21:55:36 (running for 00:00:15.17)\n",
                        "Using FIFO scheduling algorithm.\n",
                        "Logical resource usage: 1.0/48 CPUs, 4.0/4 GPUs (0.0/1.0 anyscale/cpu_only:true, 0.0/1.0 anyscale/node-group:head, 0.0/2.0 anyscale/region:us-west-2, 0.0/2.0 anyscale/provider:aws, 0.0/1.0 anyscale/node-group:4xL4:48CPU-192GB, 0.0/1.0 accelerator_type:L4, 0.0/1.0 anyscale/accelerator_shape:4xL4)\n",
                        "Result logdir: /tmp/ray/session_2025-03-10_20-48-49_801322_2254/artifacts/2025-03-10_21-55-21/TorchTrainer_2025-03-10_21-55-21/driver_artifacts\n",
                        "Number of trials: 1/1 (1 RUNNING)\n",
                        "\n",
                        "\n",
                        "== Status ==\n",
                        "Current time: 2025-03-10 21:55:41 (running for 00:00:20.18)\n",
                        "Using FIFO scheduling algorithm.\n",
                        "Logical resource usage: 1.0/48 CPUs, 4.0/4 GPUs (0.0/2.0 anyscale/provider:aws, 0.0/1.0 anyscale/cpu_only:true, 0.0/2.0 anyscale/region:us-west-2, 0.0/1.0 anyscale/node-group:head, 0.0/1.0 anyscale/accelerator_shape:4xL4, 0.0/1.0 accelerator_type:L4, 0.0/1.0 anyscale/node-group:4xL4:48CPU-192GB)\n",
                        "Result logdir: /tmp/ray/session_2025-03-10_20-48-49_801322_2254/artifacts/2025-03-10_21-55-21/TorchTrainer_2025-03-10_21-55-21/driver_artifacts\n",
                        "Number of trials: 1/1 (1 RUNNING)\n",
                        "\n",
                        "\n",
                        "== Status ==\n",
                        "Current time: 2025-03-10 21:55:46 (running for 00:00:25.20)\n",
                        "Using FIFO scheduling algorithm.\n",
                        "Logical resource usage: 1.0/48 CPUs, 4.0/4 GPUs (0.0/2.0 anyscale/provider:aws, 0.0/1.0 anyscale/cpu_only:true, 0.0/2.0 anyscale/region:us-west-2, 0.0/1.0 anyscale/node-group:head, 0.0/1.0 anyscale/accelerator_shape:4xL4, 0.0/1.0 accelerator_type:L4, 0.0/1.0 anyscale/node-group:4xL4:48CPU-192GB)\n",
                        "Result logdir: /tmp/ray/session_2025-03-10_20-48-49_801322_2254/artifacts/2025-03-10_21-55-21/TorchTrainer_2025-03-10_21-55-21/driver_artifacts\n",
                        "Number of trials: 1/1 (1 RUNNING)\n",
                        "\n",
                        "\n",
                        "== Status ==\n",
                        "Current time: 2025-03-10 21:55:51 (running for 00:00:30.27)\n",
                        "Using FIFO scheduling algorithm.\n",
                        "Logical resource usage: 1.0/48 CPUs, 4.0/4 GPUs (0.0/2.0 anyscale/region:us-west-2, 0.0/1.0 anyscale/node-group:head, 0.0/2.0 anyscale/provider:aws, 0.0/1.0 anyscale/cpu_only:true, 0.0/1.0 anyscale/accelerator_shape:4xL4, 0.0/1.0 anyscale/node-group:4xL4:48CPU-192GB, 0.0/1.0 accelerator_type:L4)\n",
                        "Result logdir: /tmp/ray/session_2025-03-10_20-48-49_801322_2254/artifacts/2025-03-10_21-55-21/TorchTrainer_2025-03-10_21-55-21/driver_artifacts\n",
                        "Number of trials: 1/1 (1 RUNNING)\n",
                        "\n",
                        "\n",
                        "== Status ==\n",
                        "Current time: 2025-03-10 21:55:56 (running for 00:00:35.30)\n",
                        "Using FIFO scheduling algorithm.\n",
                        "Logical resource usage: 1.0/48 CPUs, 4.0/4 GPUs (0.0/2.0 anyscale/region:us-west-2, 0.0/1.0 anyscale/node-group:head, 0.0/2.0 anyscale/provider:aws, 0.0/1.0 anyscale/cpu_only:true, 0.0/1.0 anyscale/accelerator_shape:4xL4, 0.0/1.0 anyscale/node-group:4xL4:48CPU-192GB, 0.0/1.0 accelerator_type:L4)\n",
                        "Result logdir: /tmp/ray/session_2025-03-10_20-48-49_801322_2254/artifacts/2025-03-10_21-55-21/TorchTrainer_2025-03-10_21-55-21/driver_artifacts\n",
                        "Number of trials: 1/1 (1 RUNNING)\n",
                        "\n",
                        "\n",
                        "== Status ==\n",
                        "Current time: 2025-03-10 21:56:01 (running for 00:00:40.33)\n",
                        "Using FIFO scheduling algorithm.\n",
                        "Logical resource usage: 1.0/48 CPUs, 4.0/4 GPUs (0.0/2.0 anyscale/region:us-west-2, 0.0/2.0 anyscale/provider:aws, 0.0/1.0 anyscale/cpu_only:true, 0.0/1.0 anyscale/node-group:head, 0.0/1.0 anyscale/node-group:4xL4:48CPU-192GB, 0.0/1.0 accelerator_type:L4, 0.0/1.0 anyscale/accelerator_shape:4xL4)\n",
                        "Result logdir: /tmp/ray/session_2025-03-10_20-48-49_801322_2254/artifacts/2025-03-10_21-55-21/TorchTrainer_2025-03-10_21-55-21/driver_artifacts\n",
                        "Number of trials: 1/1 (1 RUNNING)\n",
                        "\n",
                        "\n",
                        "== Status ==\n",
                        "Current time: 2025-03-10 21:56:07 (running for 00:00:45.37)\n",
                        "Using FIFO scheduling algorithm.\n",
                        "Logical resource usage: 1.0/48 CPUs, 4.0/4 GPUs (0.0/2.0 anyscale/region:us-west-2, 0.0/2.0 anyscale/provider:aws, 0.0/1.0 anyscale/cpu_only:true, 0.0/1.0 anyscale/node-group:head, 0.0/1.0 anyscale/node-group:4xL4:48CPU-192GB, 0.0/1.0 accelerator_type:L4, 0.0/1.0 anyscale/accelerator_shape:4xL4)\n",
                        "Result logdir: /tmp/ray/session_2025-03-10_20-48-49_801322_2254/artifacts/2025-03-10_21-55-21/TorchTrainer_2025-03-10_21-55-21/driver_artifacts\n",
                        "Number of trials: 1/1 (1 RUNNING)\n",
                        "\n",
                        "\n",
                        "== Status ==\n",
                        "Current time: 2025-03-10 21:56:12 (running for 00:00:50.44)\n",
                        "Using FIFO scheduling algorithm.\n",
                        "Logical resource usage: 1.0/48 CPUs, 4.0/4 GPUs (0.0/2.0 anyscale/region:us-west-2, 0.0/2.0 anyscale/provider:aws, 0.0/1.0 anyscale/cpu_only:true, 0.0/1.0 anyscale/node-group:head, 0.0/1.0 accelerator_type:L4, 0.0/1.0 anyscale/accelerator_shape:4xL4, 0.0/1.0 anyscale/node-group:4xL4:48CPU-192GB)\n",
                        "Result logdir: /tmp/ray/session_2025-03-10_20-48-49_801322_2254/artifacts/2025-03-10_21-55-21/TorchTrainer_2025-03-10_21-55-21/driver_artifacts\n",
                        "Number of trials: 1/1 (1 RUNNING)\n",
                        "\n",
                        "\n",
                        "== Status ==\n",
                        "Current time: 2025-03-10 21:56:17 (running for 00:00:55.53)\n",
                        "Using FIFO scheduling algorithm.\n",
                        "Logical resource usage: 1.0/48 CPUs, 4.0/4 GPUs (0.0/2.0 anyscale/region:us-west-2, 0.0/2.0 anyscale/provider:aws, 0.0/1.0 anyscale/cpu_only:true, 0.0/1.0 anyscale/node-group:head, 0.0/1.0 accelerator_type:L4, 0.0/1.0 anyscale/accelerator_shape:4xL4, 0.0/1.0 anyscale/node-group:4xL4:48CPU-192GB)\n",
                        "Result logdir: /tmp/ray/session_2025-03-10_20-48-49_801322_2254/artifacts/2025-03-10_21-55-21/TorchTrainer_2025-03-10_21-55-21/driver_artifacts\n",
                        "Number of trials: 1/1 (1 RUNNING)\n",
                        "\n",
                        "\n",
                        "== Status ==\n",
                        "Current time: 2025-03-10 21:56:22 (running for 00:01:00.59)\n",
                        "Using FIFO scheduling algorithm.\n",
                        "Logical resource usage: 1.0/48 CPUs, 4.0/4 GPUs (0.0/2.0 anyscale/region:us-west-2, 0.0/1.0 anyscale/node-group:head, 0.0/1.0 anyscale/cpu_only:true, 0.0/2.0 anyscale/provider:aws, 0.0/1.0 accelerator_type:L4, 0.0/1.0 anyscale/accelerator_shape:4xL4, 0.0/1.0 anyscale/node-group:4xL4:48CPU-192GB)\n",
                        "Result logdir: /tmp/ray/session_2025-03-10_20-48-49_801322_2254/artifacts/2025-03-10_21-55-21/TorchTrainer_2025-03-10_21-55-21/driver_artifacts\n",
                        "Number of trials: 1/1 (1 RUNNING)\n",
                        "\n",
                        "\n",
                        "== Status ==\n",
                        "Current time: 2025-03-10 21:56:27 (running for 00:01:05.63)\n",
                        "Using FIFO scheduling algorithm.\n",
                        "Logical resource usage: 1.0/48 CPUs, 4.0/4 GPUs (0.0/2.0 anyscale/region:us-west-2, 0.0/1.0 anyscale/node-group:head, 0.0/1.0 anyscale/cpu_only:true, 0.0/2.0 anyscale/provider:aws, 0.0/1.0 accelerator_type:L4, 0.0/1.0 anyscale/accelerator_shape:4xL4, 0.0/1.0 anyscale/node-group:4xL4:48CPU-192GB)\n",
                        "Result logdir: /tmp/ray/session_2025-03-10_20-48-49_801322_2254/artifacts/2025-03-10_21-55-21/TorchTrainer_2025-03-10_21-55-21/driver_artifacts\n",
                        "Number of trials: 1/1 (1 RUNNING)\n",
                        "\n",
                        "\n",
                        "== Status ==\n",
                        "Current time: 2025-03-10 21:56:32 (running for 00:01:10.69)\n",
                        "Using FIFO scheduling algorithm.\n",
                        "Logical resource usage: 1.0/48 CPUs, 4.0/4 GPUs (0.0/2.0 anyscale/provider:aws, 0.0/1.0 anyscale/node-group:head, 0.0/2.0 anyscale/region:us-west-2, 0.0/1.0 anyscale/cpu_only:true, 0.0/1.0 accelerator_type:L4, 0.0/1.0 anyscale/node-group:4xL4:48CPU-192GB, 0.0/1.0 anyscale/accelerator_shape:4xL4)\n",
                        "Result logdir: /tmp/ray/session_2025-03-10_20-48-49_801322_2254/artifacts/2025-03-10_21-55-21/TorchTrainer_2025-03-10_21-55-21/driver_artifacts\n",
                        "Number of trials: 1/1 (1 RUNNING)\n",
                        "\n",
                        "\n",
                        "== Status ==\n",
                        "Current time: 2025-03-10 21:56:37 (running for 00:01:15.70)\n",
                        "Using FIFO scheduling algorithm.\n",
                        "Logical resource usage: 1.0/48 CPUs, 4.0/4 GPUs (0.0/2.0 anyscale/provider:aws, 0.0/1.0 anyscale/node-group:head, 0.0/2.0 anyscale/region:us-west-2, 0.0/1.0 anyscale/cpu_only:true, 0.0/1.0 accelerator_type:L4, 0.0/1.0 anyscale/node-group:4xL4:48CPU-192GB, 0.0/1.0 anyscale/accelerator_shape:4xL4)\n",
                        "Result logdir: /tmp/ray/session_2025-03-10_20-48-49_801322_2254/artifacts/2025-03-10_21-55-21/TorchTrainer_2025-03-10_21-55-21/driver_artifacts\n",
                        "Number of trials: 1/1 (1 RUNNING)\n",
                        "\n",
                        "\n",
                        "== Status ==\n",
                        "Current time: 2025-03-10 21:56:42 (running for 00:01:20.77)\n",
                        "Using FIFO scheduling algorithm.\n",
                        "Logical resource usage: 1.0/48 CPUs, 4.0/4 GPUs (0.0/1.0 anyscale/cpu_only:true, 0.0/2.0 anyscale/region:us-west-2, 0.0/2.0 anyscale/provider:aws, 0.0/1.0 anyscale/node-group:head, 0.0/1.0 accelerator_type:L4, 0.0/1.0 anyscale/node-group:4xL4:48CPU-192GB, 0.0/1.0 anyscale/accelerator_shape:4xL4)\n",
                        "Result logdir: /tmp/ray/session_2025-03-10_20-48-49_801322_2254/artifacts/2025-03-10_21-55-21/TorchTrainer_2025-03-10_21-55-21/driver_artifacts\n",
                        "Number of trials: 1/1 (1 RUNNING)\n",
                        "\n",
                        "\n",
                        "== Status ==\n",
                        "Current time: 2025-03-10 21:56:47 (running for 00:01:25.86)\n",
                        "Using FIFO scheduling algorithm.\n",
                        "Logical resource usage: 1.0/48 CPUs, 4.0/4 GPUs (0.0/1.0 anyscale/cpu_only:true, 0.0/2.0 anyscale/region:us-west-2, 0.0/2.0 anyscale/provider:aws, 0.0/1.0 anyscale/node-group:head, 0.0/1.0 accelerator_type:L4, 0.0/1.0 anyscale/node-group:4xL4:48CPU-192GB, 0.0/1.0 anyscale/accelerator_shape:4xL4)\n",
                        "Result logdir: /tmp/ray/session_2025-03-10_20-48-49_801322_2254/artifacts/2025-03-10_21-55-21/TorchTrainer_2025-03-10_21-55-21/driver_artifacts\n",
                        "Number of trials: 1/1 (1 RUNNING)\n",
                        "\n",
                        "\n"
                    ]
                },
                {
                    "name": "stderr",
                    "output_type": "stream",
                    "text": [
                        "2025-03-10 21:56:52,736\tINFO tune.py:1009 -- Wrote the latest version of all result files and experiment state to '/home/ray/ray_results/TorchTrainer_2025-03-10_21-55-21' in 0.0025s.\n",
                        "2025-03-10 21:56:52,738\tINFO tune.py:1041 -- Total run time: 91.21 seconds (91.10 seconds for the tuning loop).\n"
                    ]
                },
                {
                    "name": "stdout",
                    "output_type": "stream",
                    "text": [
                        "== Status ==\n",
                        "Current time: 2025-03-10 21:56:52 (running for 00:01:30.91)\n",
                        "Using FIFO scheduling algorithm.\n",
                        "Logical resource usage: 1.0/48 CPUs, 4.0/4 GPUs (0.0/2.0 anyscale/region:us-west-2, 0.0/1.0 anyscale/cpu_only:true, 0.0/2.0 anyscale/provider:aws, 0.0/1.0 anyscale/node-group:head, 0.0/1.0 accelerator_type:L4, 0.0/1.0 anyscale/node-group:4xL4:48CPU-192GB, 0.0/1.0 anyscale/accelerator_shape:4xL4)\n",
                        "Result logdir: /tmp/ray/session_2025-03-10_20-48-49_801322_2254/artifacts/2025-03-10_21-55-21/TorchTrainer_2025-03-10_21-55-21/driver_artifacts\n",
                        "Number of trials: 1/1 (1 RUNNING)\n",
                        "\n",
                        "\n",
                        "== Status ==\n",
                        "Current time: 2025-03-10 21:56:52 (running for 00:01:31.10)\n",
                        "Using FIFO scheduling algorithm.\n",
                        "Logical resource usage: 1.0/48 CPUs, 4.0/4 GPUs (0.0/2.0 anyscale/region:us-west-2, 0.0/1.0 anyscale/cpu_only:true, 0.0/2.0 anyscale/provider:aws, 0.0/1.0 anyscale/node-group:head, 0.0/1.0 accelerator_type:L4, 0.0/1.0 anyscale/node-group:4xL4:48CPU-192GB, 0.0/1.0 anyscale/accelerator_shape:4xL4)\n",
                        "Result logdir: /tmp/ray/session_2025-03-10_20-48-49_801322_2254/artifacts/2025-03-10_21-55-21/TorchTrainer_2025-03-10_21-55-21/driver_artifacts\n",
                        "Number of trials: 1/1 (1 TERMINATED)\n",
                        "\n",
                        "\n"
                    ]
                }
            ],
            "source": [
                "from ray.train import ScalingConfig\n",
                "from ray.train.torch import TorchTrainer\n",
                "\n",
                "\n",
                "trainer = TorchTrainer(\n",
                "    train_loop_per_worker=train_loop_per_worker,\n",
                "    train_loop_config={\n",
                "        \"batch_size\": 2,\n",
                "        \"lr\": 0.02,\n",
                "        \"epochs\": 1,  # You'd normally train for 26 epochs.\n",
                "        \"momentum\": 0.9,\n",
                "        \"weight_decay\": 1e-4,\n",
                "        \"lr_steps\": [16, 22],\n",
                "        \"lr_gamma\": 0.1,\n",
                "    },\n",
                "    scaling_config=ScalingConfig(num_workers=4, use_gpu=True),\n",
                "    datasets={\"train\": train_dataset},\n",
                ")\n",
                "results = trainer.fit()"
            ]
        },
        {
            "attachments": {},
            "cell_type": "markdown",
            "id": "838101c2",
            "metadata": {},
            "source": [
                "## Next steps\n",
                "\n",
                "- {ref}`End-to-end: Offline Batch Inference <batch_inference_home>`"
            ]
        }
    ],
    "metadata": {
        "kernelspec": {
            "display_name": "ray",
            "language": "python",
            "name": "python3"
        },
        "language_info": {
            "codemirror_mode": {
                "name": "ipython",
                "version": 3
            },
            "file_extension": ".py",
            "mimetype": "text/x-python",
            "name": "python",
            "nbconvert_exporter": "python",
            "pygments_lexer": "ipython3",
            "version": "3.12.9"
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